Evolved Multiobjective Low Side-lobe Taper for Beam Steerable Arrays

被引：0
|
作者：
Das, Sudipta [1 ]
Rimjhim, Ritu [1 ]
Mandal, Durbadal [2 ]
Kar, Rajib [2 ]
机构：
[1] NIT Sikkim, Dept ECE, Ravangla, Sikkim, India
[2] NIT Durgapur, Dept ECE, Barddhaman, W Bengal, India
来源：
2022 16TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP) | 2022年
关键词：
Antenna Arrays; Constrained Optimization Problems; Genetic Algorithms; Evolution Strategy; Interference Suppression; Multiobjective Optimization; ALGORITHM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Antennas and arrays are indispensable elements of wireless communication systems. The directional characteristics is one of the most attractive features of antenna arrays. This article takes up a case of array pattern synthesis, and adopts two contemporary and highly competitive Evolutionary Algorithms, named Nondominated Sorting Genetic Algorithm III (NSGA III), and Double Niched Evolution Strategy for solving Multimodal Multiobjective Problems (DN-MMOES). The results show the effectiveness of Evolutionary Algorithms for such problems.
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